This is like giving your merchandising and planning team a super-smart assistant that constantly watches sales and stock levels across all channels, then tells you exactly what to move, discount, or reorder so you don’t run out of winners or get stuck with losers.
In-season inventory management for a global fashion/ecommerce brand: reducing stockouts and overstock across channels and regions, speeding up allocation and replenishment decisions, and improving sell-through and margin without adding more planners or analysts.
Tight integration into the retailer’s existing merchandising and inventory workflows plus access to retailer-specific demand, channel, and product data (styles, colors, sizes, regions) that fine-tune the AI policies and make it hard for generic tools to replicate performance quickly.
Hybrid
Vector Search
Medium (Integration logic)
Data integration and quality across POS, ecommerce, ERP, and warehouse systems; plus inference cost/latency at global scale during peak seasons.
Early Majority
Positioned as AI agents that can operate more autonomously and conversationally over a retailer’s data, rather than a traditional rules-based or dashboard-centric planning system; focuses on in-season, high-frequency decisions (allocation, replenishment, transfers) rather than just pre-season planning.